I am a third year PhD student at the University of Cambridge working with Prof. Ramji Venkataramanan. I am grateful to be generously supported by the Cambridge Trust.

Previously, I completed my Master’s degree in EEIT at ETH Zürich, advised by Prof. Afonso Bandeira. Before that, I completed my undergraduate degree in Engineering Science at the University of Toronto, where I worked with Prof. Daniel Roy.

My academic interests lie in the areas of statistical machine learning, applied probability, information theory, optimization, and computation.

Gabriel Arpino, Xiaoqi Liu, Ramji Venkataramanan
(2024).
Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing.
In *International Conference on Machine Learning (ICML), 2024*.

Gabriel Arpino, Daniil Dmitriev, Nicolo Grometto
(2023).
Greedy Heuristics and Linear Relaxations for the Random Hitting Set Problem.
(alphabetical order).

Gabriel Arpino, Ramji Venkataramanan
(2023).
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression.
In *Conference on Learning Theory (COLT), 2023*.

Freya Behrens, Gabriel Arpino, Yaroslav Kivva, Lenka Zdeborová
(2022).
(Dis)assortative partitions on random regular graphs.
In *Journal of Physics A: Mathematical and Theoretical*.

*Gabriel Arpino, *Nicolò Grometto, Afonso Bandeira
(2020).
Group Testing in the High Dilution Regime.
Asterisk denotes equal contribution. In *2021 IEEE International Symposium on Information Theory (ISIT)*.

Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Gabriel Arpino, Daniel M. Roy
(2020).
On the role of data in PAC-Bayes bounds.
In *2021 International Conference on Artificial Intelligence and Statistics (AISTATS)*.

Gintare Karolina Dziugaite, Gabriel Arpino, Daniel Roy
(2018).
Towards generalization guarantees for SGD: Data-dependent PAC-Bayes priors.
In *NeurIPS 2018 Workshop on Bayesian Deep Learning*.

Gabriel Arpino, Kyle Morris, Sasanka Nagavalli, Katia Sycara
(2018).
Using Information Invariants to Compare Swarm Algorithms and General Multi-Robot Algorithms.
In *2018 IEEE International Conference on Robotics and Automation (ICRA)*.

Kyle Morris, Gabriel Arpino, Sasanka Nagavalli, Katia Sycara
(2017).
Full Stack Swarm Architecture.
In *RISS 2017 Working Papers Journal*.

Johnathon N. Caguiat, Gabriel Arpino, Sally G. Krigstin, Donald W. Kirk, Charles Q. Jia
(2017).
Dependence of supercapacitor performance on macro-structure of monolithic biochar electrodes.
In *Biomass and Bioenergy*.